01.AI: Yi Vision

01-ai/yi-vision

Updated Aug 216,384 context

The Yi Vision is a complex visual task models provide high-performance understanding and analysis capabilities based on multiple images.

It's ideal for scenarios that require analysis and interpretation of images and charts, such as image question answering, chart understanding, OCR, visual reasoning, education, research report understanding, or multilingual document reading.

Sample code and API for Yi Vision

OpenRouter normalizes requests and responses across providers for you.

To get started, you can use Yi Vision via API like this:

fetch("https://openrouter.ai/api/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${OPENROUTER_API_KEY}`,
    "HTTP-Referer": `${YOUR_SITE_URL}`, // Optional, for including your app on openrouter.ai rankings.
    "X-Title": `${YOUR_SITE_NAME}`, // Optional. Shows in rankings on openrouter.ai.
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "01-ai/yi-vision",
    "messages": [
      {"role": "user", "content": "What is the meaning of life?"},
    ],
  })
});

You can also use OpenRouter with OpenAI's client API:

import OpenAI from "openai"

const openai = new OpenAI({
  baseURL: "https://openrouter.ai/api/v1",
  apiKey: $OPENROUTER_API_KEY,
  defaultHeaders: {
    "HTTP-Referer": $YOUR_SITE_URL, // Optional, for including your app on openrouter.ai rankings.
    "X-Title": $YOUR_SITE_NAME, // Optional. Shows in rankings on openrouter.ai.
  }
})
async function main() {
  const completion = await openai.chat.completions.create({
    model: "01-ai/yi-vision",
    messages: [
      { role: "user", content: "Say this is a test" }
    ],
  })

  console.log(completion.choices[0].message)
}
main()

See the Request docs for all possible parameters, and Parameters for recommended values.